• DocumentCode
    1765560
  • Title

    Nano-satellite swarm for SAR applications: design and robust scheduling

  • Author

    Chee Khiang Pang ; Kumar, Akash ; Cher Hiang Goh ; Cao Vinh Le

  • Author_Institution
    Nat. Univ. of Singapore, Singapore, Singapore
  • Volume
    51
  • Issue
    2
  • fYear
    2015
  • fDate
    42095
  • Firstpage
    853
  • Lastpage
    865
  • Abstract
    In this paper, the design and robust scheduling of a nano-satellite (nanosat) swarm is presented for synthetic aperture radar (SAR) applications. Based on the power budget and bandwidth limit of nanosats, the nanosats´ form factor and swarm size are chosen to ensure that requirements on ground resolution and signal-to-noise ratio are met. Next, an energy-efficient and robust scheduling considering stochastic failures is proposed using scenario optimization with convexification. The effectiveness of our proposed scheduling approach is verified with mathematical rigor as well as extensive simulation results on a realistic SAR application using strip and spot modes.
  • Keywords
    artificial satellites; convex programming; synthetic aperture radar; SAR applications; bandwidth limit; convexification; form factor; ground resolution; nanosats; power budget; robust nanosatellite swarm scheduling; scenario optimization; signal-to-noise ratio; spot mode; stochastic failures; strip mode; swarm size; synthetic aperture radar; Bandwidth; Batteries; Orbits; Satellites; Scheduling; Signal to noise ratio; Synthetic aperture radar;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/TAES.2014.140077
  • Filename
    7126148